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Face Recognition Using Hybrid Algorithm

Balkrishan Jindal1 , Tarsem Singh2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 460-464, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.460464

Online published on Oct 31, 2018

Copyright © Balkrishan Jindal, Tarsem Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Balkrishan Jindal, Tarsem Singh, “Face Recognition Using Hybrid Algorithm,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.460-464, 2018.

MLA Style Citation: Balkrishan Jindal, Tarsem Singh "Face Recognition Using Hybrid Algorithm." International Journal of Computer Sciences and Engineering 6.10 (2018): 460-464.

APA Style Citation: Balkrishan Jindal, Tarsem Singh, (2018). Face Recognition Using Hybrid Algorithm. International Journal of Computer Sciences and Engineering, 6(10), 460-464.

BibTex Style Citation:
@article{Jindal_2018,
author = {Balkrishan Jindal, Tarsem Singh},
title = {Face Recognition Using Hybrid Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {460-464},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3047},
doi = {https://doi.org/10.26438/ijcse/v6i10.460464}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.460464}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3047
TI - Face Recognition Using Hybrid Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Balkrishan Jindal, Tarsem Singh
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 460-464
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

In this paper Genetic and Fuzzy hybrid approach is used to recognize the face from the data set to improve the reorganization rate. The proposed method is implements in a four steps. Any sensor device is used to sense the face attributes and measured the attributes used for biometrics based identity. In second step any collected data from the sensor device will be pre-processed. Various types of noises in the attribute will be removed for increasing the accuracy for post processing. In the third step various features required for matching will be extracted. These features are identified from the inputted image. In fourth step these collected features values are stored into the database as training set. Later on any input image attribute values are matched with the stored dataset features. Whom the features will be matched will return success else will return failure.

Key-Words / Index Term

Biometrics , Face Reorganization , Hybrid , Genetic

References

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